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Site | physical/virtual/cloud | app/solr/db/other | CPU cores/GHz/cache | memory (dedicated vs. burst) | OS | disk storage/MySQL DB size/triple count | average page hits per day/month | notes (e.g., ingest solution, whether allow editing, whether using HTTP caching) | |||||||||||
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Cornell #1 (VIVO 1.7) | virtual (local) | VIVO, HTTPD, Tomcat, Solr | 2 / 2.67 / 12MB | 16 GB | 64b RHEL | < 150 GB disk | About 12,000 faculty/academics/staff; does allow editing but most done by VIVO staff & students | ||||||||||||
Cornell #2 | virtual (local) | MySQL | 2 / 2.67 / 12 MB | 8 GB | 64b RHEL | < 150 GB disk | |||||||||||||
CU-Boulder (VIVO 1.7) 3 VIVOs | physical | Tomcat, MySQL, HTTPD, Solr | Intel 2 socket/8 core, 2 threads/core = 32 virtual CPUs | 128 GB | 64b RHEL | DB = 50MB; Disk = 600GB; 340K triples | roughly 100 page hits/day, 37K page loads in 2014 | Full nightly loads / duration = 1 hour; 1700 people plus positions, degrees, and research (no publications yet). 3 VIVO instances on this server) | |||||||||||
Scripps (VIVO 1.7) | VIVO, Tomcat, MySQL, Solr | 4 cores | 8 GB | 64b CentOS 5.4 | 4.2 million triples | 355 people, 31K+ publications (journal articles) | |||||||||||||
Weill Cornell (VIVO 1.7) | virtual | 4 cores | 8 GB | ||||||||||||||||
does use HTTP caching for non logged-in users – subsecond rendering of large profiles IF a page has been visited already | |||||||||||||||||||
Memorial University #1 (VIVO 1.7) | virtual | VIVO, Tomcat, Solr, Drupal | 4 cores / 2.4G / 12 MB | 16 GB | RHEL 5 | 80 GB disk | still working on the data – 2000+ profiles, 2000-2500 projects, 500 knowledge mobilization ideas | ||||||||||||
Memorial University #2 | virtual | MySQL | 4 cores / 2.4G / 12 MB | 16 GB | RHEL 5 | 80 GB disk |
MySQL
- MySQL 14.12 distribution 5.0.95 – very likely the RHEL standard distribution
- Database size – the largest reported in the 2014 VIVO Annual Survey (response data) was ~5 GB (10+ million rows in the quads table)
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